Dive characteristics can predict foraging success in Australian fur seals (Arctocephalus pusillus doriferus) as validated by animalborne video

Beth L. Volpov*, David A S Rosen, Andrew J. Hoskins, Holly J. Lourie, Nicole Dorville, Alastair M M Baylis, Kathryn E. Wheatley, Greg Marshall, Kyler Abernathy, Jayson Semmens, Mark A. Hindell, John P Y Arnould

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
7 Downloads (Pure)


Dive characteristics and dive shape are often used to infer foraging success in pinnipeds. However, these inferences have not been directly validated in the field with video, and it remains unclear if this method can be applied to benthic foraging animals. This study assessed the ability of dive characteristics from time-depth recorders (TDR) to predict attempted prey capture events (APC) that were directly observed on animal-borne video in Australian fur seals (Arctocephalus pusillus doriferus, n=11). The most parsimonious model predicting the probability of a dive with ≥1 APC on video included only descent rate as a predictor variable. The majority (94%) of the 389 total APC were successful, and the majority of the dives (68%) contained at least one successful APC. The best model predicting these successful dives included descent rate as a predictor. Comparisons of the TDR model predictions to video yielded a maximum accuracy of 77.5% in classifying dives as either APC or non-APC or 77.1% in classifying dives as successful verses unsuccessful. Foraging intensity, measured as either total APC per dive or total successful APC per dive, was best predicted by bottom duration and ascent rate. The accuracy in predicting total APC per dive varied based on the number of APC per dive with maximum accuracy occurring at 1 APC for both total (54%) and only successful APC (52%). Results from this study linking verified foraging dives to dive characteristics potentially opens the door to decades of historical TDR datasets across several otariid species.

Original languageEnglish
Pages (from-to)262-271
Number of pages10
JournalBiology Open
Issue number3
Publication statusPublished - 15 Mar 2016
Externally publishedYes

Bibliographical note

Copyright 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • Animal-borne video
  • Crittercam
  • Dive profile analysis
  • Foraging behaviour


Dive into the research topics of 'Dive characteristics can predict foraging success in Australian fur seals (Arctocephalus pusillus doriferus) as validated by animalborne video'. Together they form a unique fingerprint.

Cite this